Affiliate Manager Jobs

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Please send CVs to [email protected] with “2026 KEPL QD Application” in the subject line. Role: We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading. Responsibilities: Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment. Requirements Master/PhD degree in math, computer science, engineering, or other related fields. 1-3 years of professional experience in software development or data science/analytics. Strong combination of quantitative skills and programming skills. Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus. Familiarity with the Linux environment. Excellent written and verbal communication skills. Willing to work in a fast-paced start-

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance. RESPONSIBILITIES Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments. REQUIREMENTS Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline. 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus. Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning. Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas. Ability to work both independently and collaboratively within a team. Commitment to the highest ethical standards.

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Our research center in Singapore is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions. RESPONSIBILITIES Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Willingness to take ownership of his/her work.

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies. Job Description Develop systematic trading models across FX, commodities, fixed income, and equity markets Alpha idea generation, backtesting, and implementation Assist in building, maintenance, and continual improvement of production and trading environments Evaluate new datasets for alpha potential Improve existing strategies and portfolio optimization Execution monitoring Be a core contributor to growing the investment process and research infrastructure of the team Desirable Candidates Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus Experience in quantitative trading, ideally in FX or futures Experience with alpha research, portfolio construction and optimization Experience building statistical/technical, fundamental, and data driven signals Experience synthesizing predictive signals for both cross-sectional and time-series models Strong experience with data exploration, dimension reduction, and feature engineering Thorough understanding of and comfort using a variety of regression techniques—including OLS, MLS, Ridge, Lasso, and Bayesian inference—as well as techniques for dealing with errors that can occur, such as auto-correlation and heteroskedasticity Experience managing and running risk is a strong plus Proficiency in Python using the machine learning stack—numpy, pandas, scikit-learn, etc. Creative mindset Strong time management abi

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Desirable Candidates M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline. Programming in any of the following: C++, C#, Java, or Python. Strong analytical and quantitative skills. Keen interest in quantitative research and metrics driven decision making. Demonstrated ability to conduct independent research utilizing large data sets. Detail-oriented. Passion for spotting trends in data. Willingness to take ownership of his/her work, working both independently and within a small team. Ability to work under pressure. Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

Please send CVs to [email protected] with “202 7 KEPL Application” in the subject line. About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding into new markets and assets classes. Role: We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level. Responsibilities: Conduct quantitative research to support the team’s investment process. Build technologies that bolster research & trading productivity. Develop, maintain, and improve the production trading capacity. Expand the system to new markets and asset classes. Requirements: Master or PhD degree in math, physics, computer science, engineering, or other related discipline. 1-3 years of prof

Please send CVs to [email protected] with “202 7 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields Strong knowledge of computational math, probability, and statistics Strong analytical skills, with attention to details Good communication skills Willing to work in a fast-paced start-u

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. **We are only accepting candidates with verified LinkedIn profiles** We're hiring a Support Engineer to join Levanta's growing team. This role is the bridge / glue between Customer Success and Engineering to troubleshoot and resolve product, integration, and API-related issues. The ideal candidate is customer-obsessed, technically savvy, and comfortable working cross-functionally to ensure a high-quality customer experience. What You'll Own: Respond to technical issues and questions via Slack, Linear (our ticketing software), and Pylon Understand the technical nuances of Levanta's technology and guide customers through their challenges Escalate product bugs to the engineering team with clear context Create and maintain technical support documentation to enable the entire CS and engineering team to serve our customers Identify repeat issues and propose solutions to improve the product Build out internal tools to solve common issues Utilize and implement AI workflows that will make our support process more efficient What We're Looking For: 2+ years of prior expe

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. We are seeking a motivated and dynamic Sales Development Representative (SDR) to join our growing sales team. The SDR will play a crucial role in driving the growth of Levanta by identifying and generating new business opportunities through outbound and inbound sales efforts. This position is ideal for an ambitious individual looking to launch or advance their career in sales within a fast-paced, innovative company. What You'll Do: Prospect and Generate Leads: Identify potential clients and key decision-makers through research, networking, and cold outreach. Utilize various tools and strategies to generate and qualify new leads. Outbound and Inbound Sales Activities: Conduct high-volume outbound prospecting (email, phone, and LinkedIn) to engage potential customers. Respond to and qualify inbound leads generated by marketing campaigns. Pipeline Management: Manage and maintain a pipeline of interested prospects and engage them effectively to convert into sales opportunities. Use CRM software to track and manage leads, ensuring accurate and up-to-date informatio

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. We are seeking a motivated and dynamic Account Executive to join our growing sales team. The Account Executive will play a crucial role in driving the growth of Levanta by managing and closing new business opportunities, fostering long-term relationships with clients, and contributing to our overall sales strategy. This position is ideal for an ambitious individual looking to advance their career in sales within a fast-paced, innovative company. Key Responsibilities: Client Acquisition and Management: Identify and engage potential clients through research, networking, and inbound leads. Conduct effective sales presentations and product demonstrations to prospective clients. Develop and maintain strong, long-lasting client relationships. Sales Strategy and Execution: Manage the entire sales cycle from prospecting to closing deals. Collaborate with the sales development team to ensure a seamless handover of qualified leads. Develop and implement sales strategies to meet or exceed revenue targets. Pipeline Management: Maintain a robust pipeline of opportunities a

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. We're hiring a GTM Engineer to own the systems that power how we find, engage, and convert customers. This role sits within the Revenue org, operating across Sales, Marketing, and RevOps – built for someone who thinks in pipelines, builds in Clay, and measures success in meetings booked and revenue influenced. What You'll Do: Outbound Infrastructure Build and maintain automated lead generation systems: enrichment pipelines, ICP scoring models, and sequencing logic Own email deliverability infrastructure: domain setup, warm-up, authentication, inbox rotation, and ongoing monitoring Design personalization and dynamic copy logic that drives reply rates, not just sends Revenue Automation Build automated workflows connecting our GTM stack (CRM, sequencers, data sources, and enrichment tools) via APIs, webhooks, and automation platforms Identify and operationalize buying signals to trigger outbound at the right moment for the right contact Maintain HubSpot as the source of truth: clean data, meaningful properties, functional workflows Tooling & Operations Evalua

Key Responsibilities:- 1. Channel Ownership & Growth Own end-to-end affiliate channel performance from partner onboarding to scale Drive acquisition with a focus on quality metrics (IR FT), not just volume Build a sustainable and scalable affiliate growth engine 2. Partner Ecosystem Development Build and manage relationships with affiliate networks (vCommission, Admitad, etc.), fin-influencers, publishers, and deal platforms Onboard and scale high-quality direct affiliates and strategic partners Identify and unlock new affiliate growth opportunities (content, comparison platforms, communities, etc.) 3. DRA Channel Buildout Set up and scale the DRA (Digital Referral Agent) channel Ensure compliance with regulatory requirements and internal policies Define onboarding, training, tracking, and payout mechanisms for DRAs 4. Performance & Optimization Optimize payouts, funnels, and landing journeys to improve CAC and conversion rates Drive continuous experimentation across creatives, messaging, and partner cohorts Improve affiliate-driven funnel metrics: Signup KYC IR FT 5. Analytics & Governance Own channel-level reporting: CAC, ROI, cohort performance, partner-level metrics Implement strong tracking, attribution, and fraud detection mechanisms Ensure traffic quality and prevent misuse or arbitrage 6. Cross-functional Collaboration Work closely with Product, Marketing, Compliance, and Analytics teams Influence onboarding flows and growth experiments for affiliate traffic Align affiliate strategy with broader acquisition and business goals Requirements 810 years of experience in affiliate / performance marketing, with mandatory experience in stock broking / fintech Strong understanding of broking acquisition funnels (Signup KYC IR First Trade) Proven track record of scaling affiliate channels with measurable ROI Hands-on experience with affiliate networks (vCommission, Admitad, Impact, etc.) and direct partnerships Experience or exposure to DRA model and regulatory fra

JOB TITLE Reference Data Engineer A Career with point72’s Cubist TEAM Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Develop, test, and maintain software applications using .NET Full Stack technologies. Write clean, scalable, and efficient code in Python for various applications. Collaborate with cross-functional teams to define, design, and ship new features. Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions. Participate in code reviews and contribute to a culture of continuous improvement. Troubleshoot and resolve software defects and issues in a timely manner. Stay up to date with emerging technologies and industry trends to enhance skills and knowledge. What’s REQUIRED We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have: Bachelor’s or master’s degree in computer science, engineering, statistics or a related field. 3+ years of experience in .NET Full Stack development and Python programming. Basic understanding and practical experience with DevOps tools and methodologies. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Eagerness to learn and adapt to new technologies and challenges. Commitment to the highest ethical standards. About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its inves